The COVID-19 Situation Report is a data intensive report that tries to portray an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic. If you would like to add additional metrics to this report, please send a mail to the author at .

Date of Report

Numbers as on EOD 

## [1] "2020-06-09"

COVID-19 Overall Stats (Worldwide)

Overall Confirmed Cases Count Worldwide 

## [1] "7242235 (up from 7118471 yesterday: 1.74 % increase)"

Overall Deaths Worldwide

Please note that the deaths is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] "609434 (up from 406522 yesterday: 49.91 % increase)"

Overall Fatality Rate Worldwide in %

Please note that the fatality rate is at the minimum an underestimate as there could be fatalities resulting from the current active cases.

## [1] 8.41



In- Depth Country Wise Stats (With Atleast 5000 COVID-19 Confirmations)

Overall Confirmed Cases and Deaths- Country Wise (With Fatality Rates)

Country_Region TotalConfirmed NewConfirmations CasesPercentIncrease TotalDeaths NewDeaths DeathsPercentIncrease FatalityRate
US 1979411 18514 0.94 111989 999 0.90 5.66
Brazil 739503 32091 4.54 38406 1272 3.43 5.19
Russia 484630 8587 1.80 6134 171 2.87 1.27
United Kingdom 290581 1747 0.60 40968 288 0.71 14.10
India 276146 10218 3.84 7750 277 3.71 2.81
Spain 241966 249 0.10 27136 0 0.00 11.21
Italy 235561 283 0.12 34043 79 0.23 14.45
Peru 203736 4040 2.02 203736 198165 3557.08 100.00
France 191523 210 0.11 29299 87 0.30 15.30
Germany 186506 397 0.21 8736 41 0.47 4.68
Iran 175927 2095 1.21 8425 74 0.89 4.79
Turkey 172114 993 0.58 4729 18 0.38 2.75
Chile 142759 3913 2.82 2283 19 0.84 1.60
Mexico 124301 4199 3.50 14649 596 4.24 11.79
Pakistan 113702 5385 4.97 2255 83 3.82 1.98
Saudi Arabia 108571 3288 3.12 783 37 4.96 0.72
Canada 98241 462 0.47 7970 60 0.76 8.11
China 84198 3 0.00 4638 0 0.00 5.51
Qatar 71879 1721 2.45 62 5 8.77 0.09
Bangladesh 71675 3171 4.63 975 45 4.84 1.36
Belgium 59437 89 0.15 9619 13 0.14 16.18
South Africa 52991 2112 4.15 1162 82 7.59 2.19
Belarus 50265 812 1.64 282 6 2.17 0.56
Netherlands 48109 164 0.34 6050 15 0.25 12.58
Sweden 45924 791 1.75 4717 23 0.49 10.27
Ecuador 43917 539 1.24 3690 48 1.32 8.40
Colombia 40847 0 0.00 1373 0 0.00 3.36
United Arab Emirates 39904 528 1.34 283 2 0.71 0.71
Singapore 38514 218 0.57 25 0 0.00 0.06
Egypt 36829 1385 3.91 1306 35 2.75 3.55
Portugal 35306 421 1.21 1492 7 0.47 4.23
Kuwait 33140 630 1.94 273 4 1.49 0.82
Indonesia 33076 1043 3.26 1923 40 2.12 5.81
Switzerland 30988 16 0.05 1934 11 0.57 6.24
Ukraine 28479 402 1.43 818 13 1.61 2.87
Poland 27560 400 1.47 1183 17 1.46 4.29
Ireland 25215 8 0.03 1691 8 0.48 6.71
Argentina 24761 1141 4.83 717 24 3.46 2.90
Philippines 22992 518 2.30 1017 6 0.59 4.42
Afghanistan 21459 542 2.59 384 15 4.07 1.79
Romania 20749 145 0.70 1354 15 1.12 6.53
Dominican Republic 20415 289 1.44 544 5 0.93 2.66
Oman 18198 712 4.07 83 2 2.47 0.46
Israel 18180 148 0.82 299 1 0.34 1.64
Panama 17233 379 2.25 403 5 1.26 2.34
Japan 17111 51 0.30 920 0 0.00 5.38
Austria 16979 11 0.06 672 0 0.00 3.96
Bahrain 15731 314 2.04 29 2 7.41 0.18
Bolivia 14644 695 4.98 487 12 2.53 3.33
Iraq 14268 787 5.84 392 22 5.95 2.75
Armenia 13675 350 2.63 217 6 2.84 1.59
Nigeria 13464 663 5.18 365 4 1.11 2.71
Kazakhstan 13074 215 1.67 61 5 8.93 0.47
Denmark 12201 39 0.32 593 0 0.00 4.86
Serbia 11965 69 0.58 250 0 0.00 2.09
Korea, South 11902 50 0.42 276 2 0.73 2.32
Algeria 10382 117 1.14 724 9 1.26 6.97
Ghana 10201 291 2.94 48 0 0.00 0.47
Moldova 10025 218 2.22 365 12 3.40 3.64
Czechia 9751 54 0.56 328 0 0.00 3.36
Norway 8576 15 0.18 239 0 0.00 2.79
Morocco 8437 135 1.63 210 2 0.96 2.49
Malaysia 8336 7 0.08 117 0 0.00 1.40
Cameroon 8312 252 3.13 212 0 0.00 2.55
Azerbaijan 8191 315 4.00 98 5 5.38 1.20
Guatemala 7866 364 4.85 289 22 8.24 3.67
Australia 7274 7 0.10 102 0 0.00 1.40
Finland 7025 24 0.34 324 1 0.31 4.61
Honduras 6935 485 7.52 271 9 3.44 3.91
Sudan 6427 185 2.96 389 17 4.57 6.05

In Depth USA Stats (State Wise Figures)

Confirmed Cases and Deaths- States of USA (With Fatality Rates)

State Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
New York 379482 683 0.18 30458 41 0.13 8.03 19507.07 1565.68 1 in 51
New Jersey 164796 299 0.18 12303 89 0.73 7.47 18553.53 1385.13 1 in 54
California 136641 2825 2.11 4745 88 1.89 3.47 3458.20 120.09 1 in 289
Illinois 129212 797 0.62 6018 94 1.59 4.66 10196.80 474.91 1 in 98
Massachusetts 103889 263 0.25 7408 55 0.75 7.13 14949.13 1065.98 1 in 67
Pennsylvania 80870 531 0.66 6014 61 1.02 7.44 6316.99 469.77 1 in 158
Texas 78130 1667 2.18 1867 19 1.03 2.39 2694.52 64.39 1 in 371
Florida 66000 1096 1.69 2765 53 1.95 4.19 3072.95 128.74 1 in 325
Michigan 64998 585 0.91 5943 48 0.81 9.14 6508.35 595.08 1 in 154
Maryland 58904 500 0.86 2811 35 1.26 4.77 9743.16 464.96 1 in 103
Georgia 53249 752 1.43 2285 77 3.49 4.29 5015.25 215.21 1 in 199
Virginia 51738 487 0.95 1496 19 1.29 2.89 6061.49 175.27 1 in 165
Connecticut 44179 87 0.20 4097 13 0.32 9.27 12391.43 1149.14 1 in 81
Louisiana 43612 562 1.31 2957 13 0.44 6.78 9381.36 636.08 1 in 107
Ohio 39162 325 0.84 2423 17 0.71 6.19 3350.30 207.29 1 in 298
Indiana 38033 410 1.09 2339 23 0.99 6.15 5649.40 347.43 1 in 177
North Carolina 37227 710 1.94 1068 27 2.59 2.87 3549.46 101.83 1 in 282
Minnesota 28523 299 1.06 1228 20 1.66 4.31 5057.60 217.74 1 in 198
Colorado 28333 164 0.58 1553 10 0.65 5.48 4920.00 269.68 1 in 203
Arizona 28296 618 2.23 1076 23 2.18 3.80 3715.88 141.30 1 in 269
Tennessee 27575 570 2.11 435 14 3.33 1.58 4035.46 63.66 1 in 248
Washington 24354 313 1.30 1176 15 1.29 4.83 3198.21 154.43 1 in 313
Iowa 22237 230 1.05 626 9 1.46 2.82 7048.02 198.41 1 in 142
Alabama 21422 497 2.38 729 11 1.53 3.40 4369.00 148.68 1 in 229
Wisconsin 21308 270 1.28 661 15 2.32 3.10 3659.64 113.53 1 in 273
Mississippi 18123 355 2.00 847 10 1.19 4.67 6089.41 284.60 1 in 164
Nebraska 15918 132 0.84 189 1 0.53 1.19 8228.87 97.70 1 in 122
Rhode Island 15691 49 0.31 808 9 1.13 5.15 14811.76 762.72 1 in 68
Missouri 15352 194 1.28 845 22 2.67 5.50 2501.37 137.68 1 in 400
South Carolina 15228 428 2.89 568 11 1.97 3.73 2957.63 110.32 1 in 338
Utah 12559 237 1.92 127 3 2.42 1.01 3917.39 39.61 1 in 255
Kentucky 11707 231 2.01 477 5 1.06 4.07 2620.38 106.77 1 in 382
Kansas 10609 65 0.62 237 1 0.42 2.23 3641.56 81.35 1 in 275
Arkansas 10080 340 3.49 161 6 3.87 1.60 3340.15 53.35 1 in 299
Nevada 10045 229 2.33 446 4 0.90 4.44 3261.20 144.80 1 in 307
Delaware 10020 48 0.48 410 12 3.02 4.09 10289.97 421.05 1 in 97
District of Columbia 9474 85 0.91 495 4 0.81 5.22 13424.04 701.38 1 in 74
New Mexico 9105 43 0.47 404 4 1.00 4.44 4342.27 192.67 1 in 230
Oklahoma 7363 158 2.19 354 6 1.72 4.81 1860.77 89.46 1 in 537
South Dakota 5523 52 0.95 68 3 4.62 1.23 6243.08 76.87 1 in 160
Puerto Rico 5185 139 2.75 142 0 0.00 2.74 1623.51 44.46 1 in 616
New Hampshire 5079 0 0.00 286 0 0.00 5.63 3735.35 210.34 1 in 268
Oregon 4988 66 1.34 169 5 3.05 3.39 1182.62 40.07 1 in 846
Idaho 3221 32 1.00 85 2 2.41 2.64 1797.37 47.43 1 in 556
North Dakota 2901 21 0.73 72 0 0.00 2.48 3806.78 94.48 1 in 263
Maine 2606 18 0.70 100 1 1.01 3.84 1938.68 74.39 1 in 516
West Virginia 2169 8 0.37 84 0 0.00 3.87 1213.67 47.00 1 in 824
Vermont 1084 9 0.84 55 0 0.00 5.07 1737.21 88.14 1 in 576
Wyoming 970 10 1.04 17 0 0.00 1.75 1676.00 29.37 1 in 597
Hawaii 682 6 0.89 17 0 0.00 2.49 481.68 12.01 1 in 2076
Alaska 572 10 1.78 11 1 10.00 1.92 781.91 15.04 1 in 1279
Montana 554 6 1.09 18 0 0.00 3.25 518.35 16.84 1 in 1929

US Tested- Confirmed Funnel (All States)

State Level Figures

State Tested Confirmed ConfirmationRate TestsPerMillPopl
New York 2605869 379482 14.56 133953.32
New Jersey 989497 164796 16.65 111402.37
California 2486245 136641 5.50 62923.44
Illinois 1079906 129212 11.97 85221.06
Massachusetts 661992 103889 15.69 95257.46
Pennsylvania 536304 80870 15.08 41892.24
Texas 1147355 78130 6.81 39569.59
Florida 1258305 66000 5.25 58586.48
Michigan 737151 64998 8.82 73812.11
Maryland 378082 58904 15.58 62537.55
Georgia 557183 53249 9.56 52478.18
Virginia 390856 51738 13.24 45791.71
Connecticut 312651 44179 14.13 87693.08
Louisiana 453668 43612 9.61 97588.32
Ohio 490390 39162 7.99 41952.76
Indiana 315390 38033 12.06 46847.85
North Carolina 535711 37227 6.95 51078.06
Minnesota 360991 28523 7.90 64009.67
Colorado 221887 28333 12.77 38530.50
Arizona 293213 28296 9.65 38505.20
Tennessee 521197 27575 5.29 76274.51
Washington 410290 24354 5.94 53879.94
Iowa 197723 22237 11.25 62668.34
Alabama 267739 21422 8.00 54605.12
Wisconsin 368518 21308 5.78 63292.77
Mississippi 208212 18123 8.70 69960.21
Nebraska 122692 15918 12.97 63426.12
Rhode Island 180887 15691 8.67 170751.05
Missouri 245695 15352 6.25 40032.24
South Carolina 247982 15228 6.14 48163.87
Utah 246860 12559 5.09 77000.38
Kentucky 259938 11707 4.50 58181.97
Kansas 119509 10609 8.88 41021.67
Arkansas 165781 10080 6.08 54933.93
Nevada 183589 10045 5.47 59603.80
Delaware 70753 10020 14.16 72659.29
District of Columbia 57152 9474 16.58 80980.63
New Mexico 238801 9105 3.81 113886.73
Oklahoma 234041 7363 3.15 59146.50
South Dakota 59159 5523 9.34 66872.09
Puerto Rico 5185 5185 100.00 1623.51
New Hampshire 87123 5079 5.83 64074.65
Oregon 153617 4988 3.25 36421.66
Idaho 57677 3221 5.58 32184.66
North Dakota 80666 2901 3.60 105852.28
Maine 62420 2606 4.17 46436.13
West Virginia 114338 2169 1.90 63977.95
Vermont 44228 1084 2.45 70879.45
Wyoming 30336 970 3.20 52415.60
Hawaii 55474 682 1.23 39180.10
Alaska 66890 572 0.86 91436.62
Montana 53184 554 1.04 49761.50

In Depth India Stats (State Wise Figures)

Confirmed Cases and Deaths (States of India)

State Confirmed NewConfirmations CasesPercentIncrease Recovered RecoveryRate Active Deaths NewDeaths DeathsPercentIncrease FatalityRate
Maharashtra 90787 2258 2.55 42639 46.97 44859 3289 120 3.79 3.62
Tamil Nadu 34914 1685 5.07 18325 52.49 16282 307 18 6.23 0.88
Delhi 29943 0 0.00 11357 37.93 17712 874 0 0.00 2.92
Gujarat 21044 470 2.28 14373 68.30 5358 1313 33 2.58 6.24
Uttar Pradesh 11335 388 3.54 6669 58.84 4365 301 18 6.36 2.66
Rajasthan 11245 369 3.39 8328 74.06 2662 255 9 3.66 2.27
Madhya Pradesh 9849 211 2.19 6729 68.32 2700 420 6 1.45 4.26
State Unassigned 9227 424 4.82 0 0.00 9227 0 0 NaN 0.00
West Bengal 8985 372 4.32 3620 40.29 4950 415 10 2.47 4.62
Karnataka 5921 161 2.80 2605 44.00 3248 66 2 3.12 1.11
Bihar 5455 208 3.96 2770 50.78 2652 33 2 6.45 0.60
Haryana 5209 355 7.31 1807 34.69 3357 45 6 15.38 0.86
Andhra Pradesh 5029 216 4.49 2775 55.18 2177 77 2 2.67 1.53
Jammu and Kashmir 4346 61 1.42 1506 34.65 2792 48 3 6.67 1.10
Telangana 3920 270 7.40 1742 44.44 2030 148 11 8.03 3.78
Odisha 3140 146 4.88 2133 67.93 996 11 0 0.00 0.35
Assam 3051 215 7.58 1097 35.96 1946 5 1 25.00 0.16
Punjab 2719 56 2.10 2167 79.70 497 55 2 3.77 2.02
Kerala 2097 91 4.54 848 40.44 1232 17 0 0.00 0.81
Uttarakhand 1537 126 8.93 755 49.12 762 13 0 0.00 0.85
Jharkhand 1416 126 9.77 559 39.48 849 8 1 14.29 0.56
Chhattisgarh 1211 14 1.17 347 28.65 859 5 1 25.00 0.41
Tripura 866 26 3.10 192 22.17 673 1 1 Inf 0.12
Himachal Pradesh 437 16 3.80 237 54.23 191 6 0 0.00 1.37
Goa 359 29 8.79 67 18.66 292 0 0 NaN 0.00
Chandigarh 327 6 1.87 285 87.16 37 5 0 0.00 1.53
Manipur 304 32 11.76 64 21.05 240 0 0 NaN 0.00
Puducherry 132 4 3.12 55 41.67 77 0 0 NaN 0.00
Nagaland 128 1 0.79 10 7.81 118 0 0 NaN 0.00
Ladakh 108 5 4.85 50 46.30 57 1 0 0.00 0.93
Mizoram 93 51 121.43 1 1.08 92 0 0 NaN 0.00
Arunachal Pradesh 57 0 0.00 2 3.51 55 0 0 NaN 0.00
Meghalaya 43 4 10.26 13 30.23 29 1 0 0.00 2.33
Andaman and Nicobar Islands 34 1 3.03 33 97.06 1 0 0 NaN 0.00
Dadra and Nagar Haveli and Daman and Diu 22 0 0.00 2 9.09 20 0 0 NaN 0.00
Sikkim 13 6 85.71 3 23.08 10 0 0 NaN 0.00
Lakshadweep 0 0 NaN 0 NaN 0 0 0 NaN NaN

In Depth Italy Stats (Region Wise Figures)

Confirmed Cases and Deaths- Regions of Italy (With Fatality and Confirmation Rates)

Region Swabs Confirmations NewConfirmations CasesPercentIncrease ConfirmationRate HospitalizedWithSymptoms IntensiveCare ActiveCases Deceased FatalityRate
Lombardia 836313 90581 192 0.21 10.83 2660 96 18297 16317 18.01
Piemonte 348770 30890 21 0.07 8.86 599 39 3671 3961 12.82
Emilia-Romagna 367485 27946 18 0.06 7.60 226 31 2156 4185 14.98
Veneto 762098 19191 4 0.02 2.52 77 0 1004 1961 10.22
Toscana 277092 10145 1 0.01 3.66 46 17 628 1077 10.62
Liguria 118891 9834 8 0.08 8.27 119 5 249 1509 15.34
Lazio 279572 7851 23 0.29 2.81 462 47 2570 766 9.76
Marche 115510 6747 0 0.00 5.84 32 0 992 992 14.70
Campania 220662 4833 5 0.10 2.19 73 3 675 426 8.81
Puglia 135625 4512 0 0.00 3.33 76 5 613 526 11.66
P.A. Trento 96527 4439 3 0.07 4.60 6 1 81 464 10.45
Sicilia 168562 3454 2 0.06 2.05 39 6 853 278 8.05
Friuli Venezia Giulia 148889 3284 0 0.00 2.21 21 2 128 340 10.35
Abruzzo 84700 3266 1 0.03 3.86 91 4 567 451 13.81
P.A. Bolzano 72652 2604 0 0.00 3.58 7 2 95 292 11.21
Umbria 77427 1435 3 0.21 1.85 12 2 29 76 5.30
Sardegna 64272 1361 -1 -0.07 2.12 9 1 54 131 9.63
Valle d’Aosta 16040 1191 0 0.00 7.43 7 0 8 144 12.09
Calabria 77216 1159 0 0.00 1.50 18 0 68 97 8.37
Molise 17162 438 2 0.46 2.55 0 2 120 23 5.25
Basilicata 33185 400 1 0.25 1.21 1 0 14 27 6.75

In Depth Canada Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of Canada (With Fatality Rates)

Province Confirmed NewConfirmations CasesPercentIncrease Deaths NewDeaths DeathsPercentIncrease FatalityRate ConfirmedCasesPerMillPopl DeathsPerMillPopl InfectionOdds
Quebec 53185 138 0.26 5029 45 0.90 9.46 6229.45 589.04 1 in 161
Ontario 32678 283 0.87 2536 12 0.48 7.76 2221.21 172.38 1 in 450
Alberta 7229 27 0.37 151 2 1.34 2.09 1638.06 34.22 1 in 610
British Columbia 2669 10 0.38 167 0 0.00 6.26 522.22 32.68 1 in 1915
Nova Scotia 1060 1 0.09 62 1 1.64 5.85 1084.45 63.43 1 in 922
Saskatchewan 656 2 0.31 13 0 0.00 1.98 555.15 11.00 1 in 1801
Manitoba 300 0 0.00 7 0 0.00 2.33 217.78 5.08 1 in 4592
Newfoundland and Labrador 261 0 0.00 3 0 0.00 1.15 500.61 5.75 1 in 1998
New Brunswick 147 1 0.68 1 0 0.00 0.68 188.46 1.28 1 in 5306
Prince Edward Island 27 0 0.00 0 0 NaN 0.00 170.72 0.00 1 in 5858
Yukon 11 0 0.00 0 0 NaN 0.00 267.78 0.00 1 in 3734
Northwest Territories 5 0 0.00 0 0 NaN 0.00 111.35 0.00 1 in 8981

In Depth China Stats (With Province Level Figures)

Confirmed Cases and Deaths- Provinces of China (With Fatality Rates)

Province Confirmed Deaths FatalityRate
Hubei 68135 4512 6.62
Guangdong 1604 8 0.50
Henan 1276 22 1.72
Zhejiang 1268 1 0.08
Hong Kong 1107 4 0.36
Hunan 1019 4 0.39
Anhui 991 6 0.61
Heilongjiang 947 13 1.37
Jiangxi 932 1 0.11
Shandong 792 7 0.88
Shanghai 678 7 1.03
Jiangsu 653 0 0.00
Beijing 594 9 1.52
Sichuan 582 3 0.52
Chongqing 579 6 1.04
Fujian 359 1 0.28
Hebei 328 6 1.83
Shaanxi 311 3 0.96
Guangxi 254 2 0.79
Inner Mongolia 237 1 0.42
Shanxi 198 0 0.00
Tianjin 194 3 1.55
Yunnan 185 2 1.08
Hainan 170 6 3.53
Jilin 155 2 1.29
Liaoning 149 2 1.34
Guizhou 147 2 1.36
Gansu 139 2 1.44
Xinjiang 76 3 3.95
Ningxia 75 0 0.00
Macau 45 0 0.00
Qinghai 18 0 0.00
Tibet 1 0 0.00

Time Series Curves (Top 20 Countries with the Highest Cases)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most confirmed COVID-19 cases as of today in decreasing order of confirmations.

Confirmed Cases Count (Linear)

Country Wise Time Series Curve

Confirmed Cases Count (Logarithmic)

Country Wise Time Series Curve

Time Series Curves (Top 20 Countries with the Highest Deaths)

The time series curves (both linear and logarithmic) are printed for the top 20 countries with the most COVID-19 deaths as of today in decreasing order of confirmations.

Death Count (Linear)

Country Wise Time Series Curve

Death Count (Logarithmic)

Country Wise Time Series Curve

Epidemic Curve: Delta in the past 24 hrs (Top 20 Countries with the Highest Cases)

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various countries. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 countries in the world as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Delta in Confirmed Cases

Number of New Cases in the past 24 hrs

Delta in Deaths

Number of Deaths in the past 24 hrs

Measuring Outbreak Velocity: 5 Day Lagging Average Doubling Time (Top 20 Countries with the Highest Cases)

The velocity of an outbreak is determined by a construct known as doubling time. This value describes the number of days, on average, required for the number of cases to double in a given area. For our analysis we use average doubling time, which can be defined as the number of days, on average, required for the average number of COVID-19 cases to double in a given area.

This measure can describe COVID-19 behavior worldwide, in a country, or even in a smaller region such as a state. For our analysis, we will discuss average doubling time at a national level for the top 20 most affected countries.

Below, we have calculated average doubling time for several nations, on a trailing, rolling 5-day basisbased on today’s case values. A decline in average doubling time indicates that the COVID-19 outbreak (confirmation rate) is accelerating (average cases double in fewer days), while an increase of average doubling time indicates that the outbreak is slowing.

Ideally, when social distancing and lockdowns are implemented aggressively in a country and after some period of delay, doubling times should begin to increase in a matter of days, weeks, or months, depending upon the severity of the epidemic and the degree of social distancing achievable.

Given the fact that many countries across the world have already enacted or implemented social distancing measures, this is why one should be cautious not to extrapolate COVID-19 growth rates from trailing statistics.

5 Day Lagging Avg Doubling Time of Confirmations

Confirmed Cases and Deaths Per Million Population and Infection Odds

This metric confirmed cases per million population and deaths per million population shows the extent to which the disease has spread with respect to the population of the country. The metric Infection Odds shows 1 in how many people are infected with COVID-19 in the corresponding country.

For the top 20 countries with most confirmed cases excluding cruise ships

Country_Region ConfirmedCasesPerMillionPopl DeathsPerMillionPopl InfectionOdds
US 6049.54 342.26 1 in 165
Brazil 3533.22 183.50 1 in 283
Russia 3353.84 42.45 1 in 298
United Kingdom 4373.59 616.62 1 in 229
India 206.23 5.79 1 in 4849
Spain 5185.73 581.57 1 in 193
Italy 3894.86 562.88 1 in 257
Peru 6333.11 6333.11 1 in 158
France 2858.98 437.36 1 in 350
Germany 2252.76 105.52 1 in 444
Iran 2167.66 103.81 1 in 461
Turkey 2129.86 58.52 1 in 470
Chile 7909.09 126.48 1 in 126
Mexico 962.08 113.38 1 in 1039
Pakistan 577.17 11.45 1 in 1733
Saudi Arabia 3296.02 23.77 1 in 303
Canada 2613.49 212.02 1 in 383
China 60.75 3.35 1 in 16461
Qatar 27237.21 23.49 1 in 37
Bangladesh NA NA 1 in NA

US Detailed State and County Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the state/ county level in USA.

Epidemic Curve: Delta in Confirmed Cases in US States

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in various US states. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The below charts show if this has happened for the worst affected 20 states in USA as of today. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in US States

Number of Deaths in the past 24 hrs

Top 50 US Counties with the Highest Cases and Deaths

All NYC boroughs are mentioned together as New York County

County State Confirmations Deaths FatalityRate
New York New York 207693 21918 10.55
Cook Illinois 83271 4010 4.82
Los Angeles California 65945 2710 4.11
Nassau New York 40980 2145 5.23
Suffolk New York 40426 1935 4.79
Westchester New York 34035 1395 4.10
Philadelphia Pennsylvania 23822 1436 6.03
Middlesex Massachusetts 22845 1720 7.53
Wayne Michigan 21533 2651 12.31
Miami-Dade Florida 19980 774 3.87
Suffolk Massachusetts 19067 935 4.90
Hudson New Jersey 19000 1235 6.50
Bergen New Jersey 18573 1628 8.77
Essex New Jersey 18151 1722 9.49
Prince George’s Maryland 16636 607 3.65
Passaic New Jersey 16492 977 5.92
Union New Jersey 16302 1100 6.75
Middlesex New Jersey 16251 1053 6.48
Fairfield Connecticut 16108 1319 8.19
Essex Massachusetts 15271 1016 6.65
Harris Texas 15238 262 1.72
Maricopa Arizona 14374 504 3.51
Rockland New York 13353 657 4.92
Montgomery Maryland 12968 667 5.14
Fairfax Virginia 12695 416 3.28
Dallas Texas 12645 271 2.14
Providence Rhode Island 11959 0 0.00
New Haven Connecticut 11875 1016 8.56
Worcester Massachusetts 11803 834 7.07
Oakland Michigan 11255 1056 9.38
Hartford Connecticut 10859 1291 11.89
Orange New York 10533 465 4.41
Marion Indiana 10444 630 6.03
Riverside California 9590 365 3.81
Hennepin Minnesota 9567 686 7.17
District of Columbia District of Columbia 9474 495 5.22
Ocean New Jersey 9059 787 8.69
Milwaukee Wisconsin 8973 331 3.69
Lake Illinois 8861 356 4.02
Norfolk Massachusetts 8753 870 9.94
San Diego California 8619 296 3.43
King Washington 8529 580 6.80
Monmouth New Jersey 8512 650 7.64
Plymouth Massachusetts 8404 603 7.18
DuPage Illinois 8215 411 5.00
Broward Florida 8035 346 4.31
Jefferson Louisiana 7940 462 5.82
Clark Nevada 7799 365 4.68
Bristol Massachusetts 7728 481 6.22
Montgomery Pennsylvania 7672 734 9.57

Overall US Choropleth Map

Choropleths are an ideal way to visualize the past/ current COVID-19 hotspots within a country. The below are the hotspots in the US.

County level COVID-19 Confirmations Map

Canada Detailed Province Level Curves

This section of the report might be of interest to people who want an an accurate data oriented picture of the 2019- 2020 COVID-19 pandemic at the province level in Canada.

The COVID-19 epidemic curve, also known as an COVID-19 epi curve or COVID-19 epidemiological curve, is a statistical chart to visualise the onset and progression of the COVID-19 outbreak in the most affected Canadian provinces- Quebec, Ontario, Alberta and British Columbia. The term flattening of the epidermic curve is referred to as the drastic reduction of new cases which can be seen in the dip in the number of new cases in the past 24 hrs. The fitted line in the below bars show the last 7 day average of new cases/ new deaths.

Epidemic Curve: Delta in Confirmed Cases in Canadian Provinces

Number of New Cases in the past 24 hrs

Epidermic Curve: Delta in Deaths in Canadian Provinces

Number of Deaths in the past 24 hrs

Data Sources

CSSEGISandData, The NY Times, amodm/api-covid19-in and pcm-dpc